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» Scaling up text classification for large file systems
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CIKM
2000
Springer
8 years 8 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
ICML
2000
IEEE
9 years 5 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
SIGMETRICS
1997
ACM
164views Hardware» more  SIGMETRICS 1997»
8 years 8 months ago
File Server Scaling with Network-Attached Secure Disks
By providing direct data transfer between storage and client, network-attached storage devices have the potential to improve scalability for existing distributed file systems (by...
Garth A. Gibson, David Nagle, Khalil Amiri, Fay W....
COLING
2002
8 years 4 months ago
Selforganizing Classification on the Reuters News Corpus
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
Stefan Wermter, Chihli Hung
ERCIMDL
1997
Springer
106views Education» more  ERCIMDL 1997»
8 years 8 months ago
Scalable Text Retrieval for Large Digital Libraries
It is argued that digital libraries of the future will contain terabyte-scale collections of digital text and that full-text searching techniques will be required to operate over c...
David Hawking
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